Data Collection ㅣ Data from internal file systems, DBMSs, sensors, etc. are collected using ETL (extraction transformation loading), and external data such as the Internet is collected using a crawling engine.
Data Analysis ㅣ Summarizes and visualizes various situations or measure ment values that appear in natural and social phenomena. It is provided in the form of descriptive statics such as graphs and inferential statistics such as es timation, hypothesis verification, regression analysis, and correlation analysis. (Analysis tools use Excel, SAS, SPSS, R, Python, etc.)
Data Mining ㅣ Applies a mining technique that classifies data into structur ed and unstructured data through automatic or semi-automatic methods such as meaningful patterns, rules, and relationships. In order to mine a large amou nt of data, we are analyzing it using machine learning technology.
Data visualization ㅣ A technique that amplifies the degree of understandi ng and recognition of abstract data through interactive visual representation of a computer. We provide visualizations such as scatter plots, line charts, and cascading charts so that you can explore or understand vast amounts of data. . (Visualization tools are appropriately used for each data type, such as Tableau, Infogram, ChartBlocks, Datawrapper, etc.)
Data Analysis ㅣ Summarizes and visualizes various situations or measure ment values that appear in natural and social phenomena. It is provided in the form of descriptive statics such as graphs and inferential statistics such as es timation, hypothesis verification, regression analysis, and correlation analysis. (Analysis tools use Excel, SAS, SPSS, R, Python, etc.)
Data Mining ㅣ Applies a mining technique that classifies data into structur ed and unstructured data through automatic or semi-automatic methods such as meaningful patterns, rules, and relationships. In order to mine a large amou nt of data, we are analyzing it using machine learning technology.
Data visualization ㅣ A technique that amplifies the degree of understandi ng and recognition of abstract data through interactive visual representation of a computer. We provide visualizations such as scatter plots, line charts, and cascading charts so that you can explore or understand vast amounts of data. . (Visualization tools are appropriately used for each data type, such as Tableau, Infogram, ChartBlocks, Datawrapper, etc.)